Note: The job is a remote job and is open to candidates in USA. SPECTRAFORCE is seeking a Platform Engineer / Site Reliability Engineer to design, build, and operate cloud-native infrastructure supporting healthcare technology applications. The role focuses on scalable and secure platforms, infrastructure automation, CI/CD, Kubernetes environments, observability, and operational reliability while collaborating with cross-functional engineering teams.
Responsibilities
- Design, implement, and maintain scalable, secure, and highly available cloud infrastructure using Infrastructure-as-Code (IaC) tools and modern DevOps practice
- Build and optimize CI/CD pipelines using tools such as Jenkins, GitHub Actions, Maven, and JFrog to ensure fast, reliable, and repeatable software deliver
- Develop and manage containerized application environments with Kubernetes, ensuring optimal deployment, scalability, and service reliabilit
- Automate infrastructure provisioning, configuration, and deployment processes to improve operational efficiency and reduce manual intervention
- Design and implement comprehensive monitoring, alerting, and observability solutions to ensure system health, performance, and reliabilit
- Collaborate closely with development, product, QA, and security teams to design robust platform solutions aligned with business and technical requirement
- Participate actively in Agile ceremonies such as daily stand-ups, sprint planning, demos, and retrospectives, driving continuous improvement and team collaboratio
- Contribute to operational support processes, including incident response, root cause analysis, capacity planning, and performance optimization for large-scale distributed system
Skills
- Minimum of 5 years of hands-on experience with tools such as Terraform and Ansible for building and managing infrastructure as code, and CI/CD automation tools like Jenkins, GitHub, Maven, and JFrog
- Proven hands-on experience deploying and managing infrastructure and services on Google Cloud Platform (GCP) is required
- Strong knowledge of GCP networking, IAM, security, cost optimization, and core services (e.g., Cloud Run, Pub/Sub, GKE, Firestore) is essential
- Strong experience deploying, scaling, and managing containerized applications using Kubernetes, including service mesh, auto-scaling, and rolling update strategies
- Proficiency in one or more programming or scripting languages such as Python, Go, Java, C++, Perl, Ruby, or SQL, with the ability to automate workflows and optimize infrastructure operations
- Experience designing and implementing operational support models, including incident response, root cause analysis, monitoring, and alerting strategies
- Demonstrated experience with reliability engineering practices such as capacity planning, fault tolerance, and resilience design
- Experience working in Agile environments with familiarity in sprints, daily stand-ups, planning sessions, and retrospectives
- Bachelor's degree in Information Systems, Information Technology, Computer Science, Engineering, or a related field — or equivalent work experience
- Experience with AWS or Azure is a plus but not a substitute
Benefits
- Remote work arrangement
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